Transactions on Intelligent Computing and Data Systems (TICDS)

Transactions on Intelligent Computing and Data Systems (TICDS) is an international, peer-reviewed scholarly journal dedicated to advancing research in intelligent computing, data science, and multidisciplinary technological systems. The journal provides a platform for researchers, academicians, and industry professionals to publish original and high-quality contributions that address complex challenges through data-driven and intelligent approaches.

TICDS focuses on both theoretical developments and practical implementations, encouraging research that integrates Artificial Intelligence, machine learning, and advanced data systems with real-world applications. The journal promotes interdisciplinary collaboration across domains such as healthcare, finance, education, smart cities, and industrial automation.

The scope of the journal includes, but is not limited to, Artificial Intelligence, Machine Learning, Data Science, Big Data Analytics, Intelligent Systems, Internet of Things (IoT), Cloud and Edge Computing, Natural Language Processing, Computer Vision, and Cybersecurity. It also welcomes multidisciplinary research that applies intelligent computing techniques to solve societal and industrial problems.

All submissions to TICDS undergo a rigorous double-blind peer review process to ensure quality, originality, and relevance. The journal adheres to strict ethical standards and aims to maintain transparency and integrity in the publication process.

The mission of TICDS is to promote innovation, research excellence, and global knowledge exchange in intelligent computing and data systems. Its vision is to become a leading international journal recognized for impactful contributions to technology and interdisciplinary research.